What does it really take to build an AI enabled platform?

How do you build AI features when you don’t have the luxury of user data, deep pockets, or unlimited time?

At OpsCanvas, a cloud orchestration startup, we faced this reality while developing an AI feature to analyze CI/CD files. With zero customer usage data, we turned to open-source repos as a proxy—then refined as real-world data arrived. Along the way, we learned what it really takes to bring AI features to life under startup constraints.

This session is for anyone building or planning to build AI features into their product. We'll walk through practical lessons, tough decisions, and the technical tradeoffs that shaped our path.

Takeaways

• Learn how to identify an AI use case that's worth building
• See how you can start building AI features with limited data
• Get a realistic view of how time and cost behave differently in AI products
• Discover why tight specifications and regular evaluation are essential to avoid surprises